Data Engineer – AI-Accelerated Development (Snowflake, Airflow, Python)

Accenture; Warszawa, Kraków, Wrocław; Hybrid; PLN 150,000 - 210,000; Full time

Benefits offered by this job

Permanent contract

Private medical care

Life insurance

Employee Share Purchase Plan

Employee referral program

Job summary

Accenture Polska is seeking an experienced Data Engineer to design, build and operate scalable ELT/ETL pipelines, collaborate across analytics, data science and software teams, and own critical data platforms in a modern cloud environment.

You will develop Airflow workflows, model data in Snowflake and Databricks, and drive data quality, observability and reliability while embracing AI coding tools to accelerate delivery.

Qualifications

• Strong SQL skills with complex queries and optimization.
• Experience with Python for data engineering and automation.
• Experience with modern cloud data warehouses (Snowflake, BigQuery, Redshift, Synapse).
• Experience building pipelines using Apache Airflow or similar tools.
• Experience operating production data systems for reliability and maintainability.
• Experience using Git and collaborative software practices.
• Strong ownership and ability to work in fast-changing environments.
• Excellent communication with technical and business stakeholders.

Responsibilities

• Design, build, and operate scalable ELT/ETL pipelines from APIs, databases, and streams.
• Develop and maintain orchestration workflows in Apache Airflow with monitoring and retries.
• Build and optimize data models in Snowflake and Databricks for analytics and AI.
• Improve data quality through validation, testing, monitoring, and lineage.
• Investigate production incidents and implement long-term fixes.
• Collaborate with analytics engineers, data scientists, product teams, and software engineers.
• Contribute to engineering standards (testing, Git workflows, CI/CD, documentation, code reviews).
• Leverage AI coding tools to accelerate development while ensuring quality.

Skills

SQL

Python

Cloud data warehouses

Airflow

Git

Ownership mindset

Communication

Fast-changing environments

Data engineering

Reliability

Tools

Airflow

Databricks

Snowflake

BigQuery

Redshift

Synapse

Git

Terraform

CI/CD

Kafka

Kinesis

Job description

WHO WE ARE

Accenture is a leading global professional services company that helps the world’s leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services.

At the AI&Data, we work locally and globally with over 200 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting-edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics.

THE WORK

• Design, build, and operate scalable ELT/ETL pipelines using data from APIs, databases, event streams, and third-party systems
• Develop and maintain orchestration workflows in Apache Airflow with monitoring, observability, retries, and alerting
• Build and optimize data models in Snowflake and Databricks that power analytics, reporting, and AI applications
• Improve data quality through validation, testing, monitoring, and lineage
• Investigate production incidents, perform root‑cause analysis, and implement long‑term fixes
• Collaborate with analytics engineers, data scientists, product teams, and software engineers
• Contribute to engineering standards (testing, Git workflows, CI/CD, documentation, code reviews)
• Leverage AI coding tools (e.g., GitHub Copilot, Codex, Cursor) to accelerate development while maintaining quality

Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office - depending on specific project circumstances With all our roles, there is some in‑person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.

WHAT’S IN IT FOR YOU?

• Work on modern cloud‑based data platforms and own meaningful parts of data solutions
• Gain hands‑on experience across the full data engineering lifecycle
• Be part of a high‑impact engineering team delivering data‑driven solutions

Qualification

HERE’S WHAT YOU’LL NEED:

• Strong SQL skills (complex queries, CTEs, window functions, performance optimization)
• Experience with Python for data engineering and automation
• Experience with modern cloud data warehouses (e.g., Snowflake, BigQuery, Redshift, Synapse)
• Experience building pipelines using Apache Airflow or similar orchestration tools
• Experience operating production data systems with focus on reliability and maintainability
• Experience using Git and collaborative software engineering practices
• Strong ownership mindset and ability to work in fast‑changing environments
• Effective communication with technical and business stakeholders
• Experience using AI coding assistants and ability to critically review generated code

BONUS POINTS IF YOU HAVE:

• Experience with Databricks, Apache Spark, or Delta Lake
• Familiarity with DBT, Kafka, Kinesis, or other streaming technologies
• Experience with Terraform, Infrastructure as Code, or CI/CD pipelines
• Experience building AI or ML data pipelines

WHAT WE OFFER?

• A permanent employment contract
• Individual support of a People Lead and a clearly defined path of professional development, including the possibility of a session with a Coach
• A comprehensive training package, including: soft skills, technical and language training, access to e-learning platforms, Gallup test, GenAI training, possibility of co‑financing courses and certifications
• Employee Assistance Program offering legal, financial and psychological consultations
• Employee Share Purchase Plan – employees who own company shares are automatically eligible for quarterly dividends
• Paid employee referral program
• Private medical care and life insurance
• Access to the Worksmile benefits platform (including the Multisport card)

WHAT WE BELIEVE:

Accenture does not discriminate employment candidates on the basis of race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long‑lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with.

More information about Accenture (and if necessary also its representative) can be found here: https://www.accenture.com/pl-pl/privacy-policy

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